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- Tasks: Develop and enhance quantitative models for a leading global bank.
- Company: Join a prestigious bank with a focus on innovation and teamwork.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in London.
- Why this job: Make an impact in finance by working on cutting-edge quantitative analysis.
- Qualifications: Strong mathematical skills and programming experience in C++, Java, Python, or R.
The predicted salary is between 65000 - 70000 £ per year.
The role will require working closely with the model development team of a large global bank. This will include developing new models, enhancing/improving, and maintaining existing models to support the bank’s business activities and regulatory mandates.
The candidates are required to have sound knowledge and exposure to pricing models across different asset classes. This will include exposure to any of the following methodologies:
- Derivatives Pricing models
- Market Risk/VaR models
- Counterparty Risk and CVA methodologies
- IMM and Risk-based margins
- Enterprise-wide models including Operational risk and Economic Capital
Key responsibilities include: understanding business requirements, regulatory guidelines, cleaning/transforming data, determining appropriate modeling methodologies, model construction/testing, building prototype models, validating the models based on prescribed guidelines, model documentation and review.
Good Mathematical and numerical skills with excellent knowledge of quantitative finance topics like Geometric Brownian Motion, Stochastic Calculus, Partial Differential Equations, Monte Carlo simulation etc.
Exposure to valuation/pricing models across asset classes with experience in different methods used. Strong exposure to various risk concepts including VaR, CVA, IMM and Risk-based margins amongst others.
Sound knowledge of standard tools and platforms used in the industry. Ability to explain complicated concepts with ease to a wide range of audiences. Comfortable programming in one or more of the following: C++/C#, Java, Python, R etc. Good communication skills, team-work and flexibility.
Quantitative Analyst in London employer: Bullhorn Consultants
Contact Detail:
Bullhorn Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative analysis fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can explain complex concepts like VaR or Monte Carlo simulations clearly. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your projects! If you've worked on any models or analyses, create a portfolio to demonstrate your skills. We love seeing practical applications of your knowledge, so make sure to highlight your experience with programming languages like Python or R.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. So, keep an eye out and get your applications in!
We think you need these skills to ace Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative finance and the specific methodologies mentioned in the job description. We want to see how your skills align with our needs, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative analysis and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Since programming is key for this role, make sure to mention your proficiency in languages like Python or R. We’re keen to know how you’ve used these skills in real-world scenarios, so include any relevant projects or experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Bullhorn Consultants
✨Know Your Models Inside Out
Make sure you have a solid grasp of the pricing models and methodologies mentioned in the job description. Be ready to discuss your experience with derivatives pricing, VaR models, and any other relevant techniques. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Brush Up on Your Maths Skills
Since this role requires strong mathematical and numerical skills, it’s crucial to review key topics like Stochastic Calculus and Monte Carlo simulations. Prepare to solve some problems or explain these concepts during the interview to demonstrate your expertise.
✨Showcase Your Programming Proficiency
Be prepared to talk about your programming experience, especially in languages like Python or R. You might even be asked to write a small piece of code or explain how you would approach a modelling problem using these tools. Practice articulating your thought process clearly.
✨Communicate Clearly and Confidently
This role involves explaining complex concepts to various audiences, so practice simplifying your explanations. During the interview, focus on clear communication and ensure you can convey your ideas effectively. Remember, it’s not just about what you know, but how well you can share that knowledge.